Staff Data Scientist, Inference - Customer Support Job at Airbnb

Staff Software Engineer - AI/ML Infra

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Palo Alto

Salary:

90000.00 - 300000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer - AI/ML Platform

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 - 300000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer - AI/ML Infra

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 - 300000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff AI Engineer

We are looking for a visionary and technically deep AI Architect to lead the des...

Location

India , Pune, Maharashtra; Karnataka

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering or technology architecture
At least 4 years focused on AI, ML, and Generative AI solutions at enterprise scale
Deep hands-on expertise with Large Language Models (LLMs) including model selection, prompt engineering, fine-tuning (LoRA, PEFT), and evaluation techniques
Proven experience designing and implementing MCP servers and structured context management strategies for LLM applications
Strong working knowledge of Generative AI frameworks and orchestration tools — LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI, or equivalent agentic platforms
Hands-on experience with RAG architectures, vector databases (Pinecone, Weaviate etc), and embedding models
Proficiency in Python-based AI/ML development, including libraries such as HuggingFace Transformers, PyTorch, TensorFlow, scikit-learn, and OpenAI SDK
Experience with AI cloud platforms and services — Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent enterprise AI infrastructure
Solid understanding of MLOps practices including model versioning, experiment tracking (MLflow, Weights & Biases), CI/CD for ML, and model monitoring in production
Familiarity with AI agent design patterns, multi-agent systems, tool-use frameworks, and autonomous workflow orchestration

Job Responsibility

Define and own the enterprise AI architecture strategy, establishing standards, reference architectures, and technology roadmaps for AI/ML adoption
Architect and oversee the design of LLM-powered applications including RAG pipelines, AI agents, and agentic workflow systems
Design and govern MCP server implementations, enabling structured, context-aware interactions between LLMs and enterprise data sources
Lead the evaluation and selection of AI/ML platforms, LLM providers (OpenAI, Anthropic, Azure OpenAI, Google Gemini, open-source models), and supporting infrastructure
Architect prompt engineering frameworks, fine-tuning pipelines, and model evaluation strategies to ensure LLM output quality, accuracy, and reliability
Design AI orchestration layers using frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or custom agentic architectures for multi-step reasoning workflows
Establish AI data pipelines for model training, embeddings generation, vector database management, and real-time inference serving
Define and enforce responsible AI practices including bias detection, explainability, hallucination mitigation, content safety guardrails, and regulatory compliance
Collaborate with engineering leads, data scientists, and product teams to embed AI capabilities into existing platforms and new product initiatives
Mentor and upskill engineering teams on AI/ML technologies, architectural patterns, and emerging developments in the AI ecosystem

What we offer

People-first culture
Flexible work model
Focus on well-being
Inclusive environment

Fulltime

Sprinter Van Driver

Delivery of all products from the 48-hour remedial service.

Location

United Kingdom , Shotts

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Full driving licence with the required vocational entitlement
Good verbal communication skills
Smart appearance as the position is customer facing
Able to lift average sized kitchen, bedroom and bathroom units

Job Responsibility

Collecting product from the local container and loading onto the vehicle
Delivering product to customers across the area
Maintaining a high standard of work
Maintaining legal requirements

Fulltime

Seasonal Cook III

Prepare ingredients for cooking, including portioning, chopping, and storing foo...

Location

United States

Salary:

26.00 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

High school diploma or G.E.D. equivalent
At least 1 year of related work experience

Job Responsibility

Prepare ingredients for cooking, including portioning, chopping, and storing food
Wash and peel fresh fruits and vegetables
Weigh, measure, and mix ingredients
Prepare and cook food according to recipes, quality standards, presentation standards, and food preparation checklist
Prepare cold foods
Operate ovens, stoves, grills, microwaves, and fryers
Test foods to determine if they have been cooked sufficiently
Monitor food quality while preparing food
Set-up and break down work station
Serve food in proper portions onto proper receptacles

Fulltime

Project Manager

Robert Half is partnering with a dynamic and fast‑growing client to hire an expe...

Location

United States , Springfield

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proven experience as a Project Manager, Creative Project Manager, or similar role within a creative, marketing, or agency environment
Strong understanding of creative processes, including design, copywriting, digital production, and content development
Proficiency with project management tools (Asana, Monday.com, Wrike, Jira, or similar)
Exceptional organizational, communication, and stakeholder‑management skills
Ability to manage multiple projects simultaneously while maintaining attention to detail
Experience working with cross‑functional teams and balancing competing priorities
Familiarity with brand guidelines, creative workflows, and digital asset management
Strong problem‑solving skills and the ability to adapt in a fast‑paced environment

Job Responsibility

Oversee end‑to‑end project management for creative initiatives, including digital campaigns, branding, content development, video, and design deliverables
Develop project scopes, timelines, budgets, and resource plans to ensure efficient and on‑time execution
Serve as the central point of communication between creative teams, marketing, product, and external partners
Facilitate project kickoffs, status meetings, reviews, and approvals to maintain alignment and momentum
Track progress, identify risks, and proactively resolve issues to keep projects on schedule
Ensure all creative deliverables meet brand standards, strategic objectives, and stakeholder expectations
Manage workflow tools and project management platforms to maintain visibility and accountability
Support resource allocation and capacity planning across creative disciplines
Provide clear documentation, reporting, and communication to leadership and stakeholders
Drive process improvements to enhance team efficiency, collaboration, and creative output

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Advocate

We are looking to recruit an Advocate to work 25 hours per week that will provid...

Location

United Kingdom , Durham

Salary:

17500.00 - 19285.71 GBP / Year

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Experience working with children, young people, and/or vulnerable adults within a relevant setting
Ability to communicate effectively with children, young people, and professionals
Understanding of the importance of maintaining professionalism
Must live within the geographical area to fulfil the role's requirements
Legal right to work in the United Kingdom
Willingness to undergo an enhanced DBS check, references, and a Digital Risk Assessment

Job Responsibility

Provide independent and confidential advocacy to children and young people under Local Authority care
Empower looked after children and young people to express their wishes and feelings in decisions that affect their lives
Ensure voices of children and young people are heard
Listen to children and young people to understand their feelings and wants
Support children and young people by promoting their understanding of outcomes and available options
Assist children and young people in making informed decisions
Ensure legal rights of children and young people are upheld and they are treated fairly
Attend decision-making meetings with the young person
Ensure others know how the young person is feeling and what they want
Provide impartial information to the young person

What we offer

Full training provided
Support in obtaining an Advocacy qualification

Parttime

Staff Data Scientist, Inference - Customer Support

Airbnb

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 16, 2025

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Location:United States

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Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:December 16, 2025

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